{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:C5OEKGE5B2GQJI6FT7CAKMMN5C","short_pith_number":"pith:C5OEKGE5","schema_version":"1.0","canonical_sha256":"175c45189d0e8d04a3c59fc405318de89bff0983cb5f35ebbf5be144bf3542a1","source":{"kind":"arxiv","id":"2606.19497","version":1},"attestation_state":"computed","paper":{"title":"Lightweight Non-Line-of-Sight Channel Detection for ML-assisted Bluetooth Direction Finding","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Aamir Mahmood, Hamed Talebian, Mehdi Haghshenas, Mikael Gidlund, Peter Karlsson, Stefani Rydbloom","submitted_at":"2026-06-17T18:35:18Z","abstract_excerpt":"Bluetooth Low Energy (BLE) direction-finding is promising for indoor industrial localization, but its accuracy degrades in multipath environments where reflections and scattering bias angle estimates. Although line-of-sight (LOS) and non-line-of-sight (NLOS) detection is well studied for wide-band radios, BLE direction-finding still lacks narrow-band channel-feature representations, scalable kernel-based feature transformations, and dedicated datasets for data-driven, lightweight channel classification. To address this gap, the work introduces a controlled BLE measurement setup that generates "},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2606.19497","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IT","submitted_at":"2026-06-17T18:35:18Z","cross_cats_sorted":["math.IT"],"title_canon_sha256":"fac4f680b10d15364516ffe34f4dd85cbe08b6bfd76dca00f845392f92d5169b","abstract_canon_sha256":"46e4795b0ff57b74533d7d9ba76f5eff8179e418f3fd6137e98cf864d40e6222"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-19T16:12:27.276591Z","signature_b64":"P2DQFgGlKejz9sOIZP5HQiOzJ/ySixhfPdyJvSB++MPFN3RXvLRV4cp6FA9m1kI7H8SZmtSL/QknjZFcMo9/AA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"175c45189d0e8d04a3c59fc405318de89bff0983cb5f35ebbf5be144bf3542a1","last_reissued_at":"2026-06-19T16:12:27.276235Z","signature_status":"signed_v1","first_computed_at":"2026-06-19T16:12:27.276235Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Lightweight Non-Line-of-Sight Channel Detection for ML-assisted Bluetooth Direction Finding","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["math.IT"],"primary_cat":"cs.IT","authors_text":"Aamir Mahmood, Hamed Talebian, Mehdi Haghshenas, Mikael Gidlund, Peter Karlsson, Stefani Rydbloom","submitted_at":"2026-06-17T18:35:18Z","abstract_excerpt":"Bluetooth Low Energy (BLE) direction-finding is promising for indoor industrial localization, but its accuracy degrades in multipath environments where reflections and scattering bias angle estimates. Although line-of-sight (LOS) and non-line-of-sight (NLOS) detection is well studied for wide-band radios, BLE direction-finding still lacks narrow-band channel-feature representations, scalable kernel-based feature transformations, and dedicated datasets for data-driven, lightweight channel classification. To address this gap, the work introduces a controlled BLE measurement setup that generates "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.19497","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2606.19497/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2606.19497","created_at":"2026-06-19T16:12:27.276299+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.19497v1","created_at":"2026-06-19T16:12:27.276299+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.19497","created_at":"2026-06-19T16:12:27.276299+00:00"},{"alias_kind":"pith_short_12","alias_value":"C5OEKGE5B2GQ","created_at":"2026-06-19T16:12:27.276299+00:00"},{"alias_kind":"pith_short_16","alias_value":"C5OEKGE5B2GQJI6F","created_at":"2026-06-19T16:12:27.276299+00:00"},{"alias_kind":"pith_short_8","alias_value":"C5OEKGE5","created_at":"2026-06-19T16:12:27.276299+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/C5OEKGE5B2GQJI6FT7CAKMMN5C","json":"https://pith.science/pith/C5OEKGE5B2GQJI6FT7CAKMMN5C.json","graph_json":"https://pith.science/api/pith-number/C5OEKGE5B2GQJI6FT7CAKMMN5C/graph.json","events_json":"https://pith.science/api/pith-number/C5OEKGE5B2GQJI6FT7CAKMMN5C/events.json","paper":"https://pith.science/paper/C5OEKGE5"},"agent_actions":{"view_html":"https://pith.science/pith/C5OEKGE5B2GQJI6FT7CAKMMN5C","download_json":"https://pith.science/pith/C5OEKGE5B2GQJI6FT7CAKMMN5C.json","view_paper":"https://pith.science/paper/C5OEKGE5","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.19497&json=true","fetch_graph":"https://pith.science/api/pith-number/C5OEKGE5B2GQJI6FT7CAKMMN5C/graph.json","fetch_events":"https://pith.science/api/pith-number/C5OEKGE5B2GQJI6FT7CAKMMN5C/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/C5OEKGE5B2GQJI6FT7CAKMMN5C/action/timestamp_anchor","attest_storage":"https://pith.science/pith/C5OEKGE5B2GQJI6FT7CAKMMN5C/action/storage_attestation","attest_author":"https://pith.science/pith/C5OEKGE5B2GQJI6FT7CAKMMN5C/action/author_attestation","sign_citation":"https://pith.science/pith/C5OEKGE5B2GQJI6FT7CAKMMN5C/action/citation_signature","submit_replication":"https://pith.science/pith/C5OEKGE5B2GQJI6FT7CAKMMN5C/action/replication_record"}},"created_at":"2026-06-19T16:12:27.276299+00:00","updated_at":"2026-06-19T16:12:27.276299+00:00"}